galaxyMindAiLabs/stem-reasoning-complex
STEM-Reasoning-Complex: High-Fidelity Scientific CoT Dataset 1. Dataset Summary STEM-Reasoning-Complex is a curated collection of 118.255 high-quality samples designed for Supervised Fine-Tuning (SFT) and alignment of Large Language Models. The dataset focuses on four core disciplines: Biology, Mathematics, Physics, and Chemistry. Unlike standard QA datasets, each entry provides a structured Chain-of-Thought (CoT) reasoning process, enabling models to learn… See the full description on the dataset page: https://huggingface.co/datasets/galaxyMindAiLabs/stem-reasoning-complex.
| Author / organization | galaxyMindAiLabs |
|---|---|
| License (as declared) | apache-2.0 |
| Downloads | 353 (as reported by Hugging Face) |
| Likes | 80 |
| Created | 30 January 2026 |
| Last updated at source | 26 March 2026 |
Popularity, last 2 days
353 now (+4 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Connected in the knowledge graph
- mradermacher/Cicikus-v3-1.4B-Opus4.6-Powered-GGUFModel · used to train
- mradermacher/Cicikus_PTHS_v3_4.4B-i1-GGUFModel · used to train
- mradermacher/Cicikus_v2_3B-i1-GGUFModel · used to train
- mradermacher/Cicikus_v2_3B-GGUFModel · used to train
- mradermacher/Cicikus-v3-1.4B-GGUFModel · used to train
- mradermacher/Cicikus-v3-1.4B-Opus4.6-Powered-i1-GGUFModel · used to train
- mradermacher/Cicikus-v3-1.4B-i1-GGUFModel · used to train
- mradermacher/Cicikus_PTHS_v3_4.4B-GGUFModel · used to train
Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 17 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.